Quantitative Trader

Vor 7 Tagen


Council of the City of Sydney, Österreich Akuna Capital Llc Vollzeit

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting‑edge technology, data driven solutions and automation. We specialise in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models. At Akuna we have a flat structure, where the best idea wins. Our Founding Partners, including Andrew Killion, first conceptualised Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, Singapore and London. What you're doing as a Quantitative Trader at Akuna We are seeking experienced Quantitative Options Traders to join our dynamic team at Akuna Capital. The ideal candidate will be a motivated individual with a desire to make an immediate impact. We are searching for creative thinkers, competition winners, and those who enjoy a challenge. If you enjoy taking an idea, making it tangible, and receiving rapid feedback – we have the challenge for you. In this role you will Manage trading strategies and improve profitability by converting ideas into quantitative models Implement trading signals that influence our automated trading Develop a deep understanding of derivatives theory and financial markets Generate ideas on trading opportunities, product insights, risk management and trading systems Qualities that make great candidates 3+ years of professional work experience in Options Trading or a related field BS/MS/PhD in a technical field – Engineering, Statistics, Computer Science, Mathematics, Physics, or similar Understanding of advanced mathematics: Calculus, Probability, Linear Algebra, Statistics and Optimization Working knowledge of statistical analysis, numerical linear algebra, machine learning, or convex optimisation Intermediate programming skills in Python (C++ is a plus) #J-18808-Ljbffr


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